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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Reverse-engineering Recurrent Neural Network solutions to a hierarchical inference task for mice
Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Attractor and integrator networks in the brain
Mikail Khona, Ila Fiete
Nature reviews. Neuroscience (2022) Vol. 23, Iss. 12, pp. 744-766
Open Access | Times Cited: 184
Brain-wide representations of prior information in mouse decision-making
Charles Findling, Félix Hubert, Luigi Acerbi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 38
Latent circuit inference from heterogeneous neural responses during cognitive tasks
Christopher Langdon, Tatiana A. Engel
Nature Neuroscience (2025)
Open Access | Times Cited: 1
Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior
Yoav Ger, Eliya Nachmani, Lior Wolf, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011678-e1011678
Open Access | Times Cited: 7
Towards the next generation of recurrent network models for cognitive neuroscience
Guangyu Robert Yang, Manuel Molano‐Mazón
Current Opinion in Neurobiology (2021) Vol. 70, pp. 182-192
Open Access | Times Cited: 34
Recurrent networks endowed with structural priors explain suboptimal animal behavior
Manuel Molano‐Mazón, Yuxiu Shao, Daniel Duque, et al.
Current Biology (2023) Vol. 33, Iss. 4, pp. 622-638.e7
Open Access | Times Cited: 14
Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making
Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 11
The role of population structure in computations through neural dynamics
Alexis Dubreuil, Adrian Valente, Manuel Beirán, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 29
NeuroGym: An open resource for developing and sharing neuroscience tasks
Manuel Molano‐Mazón, João Barbosa, Jordi Pastor‐Ciurana, et al.
(2022)
Open Access | Times Cited: 16
Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks
Yuxiu Shao, Srdjan Ostojic
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010855-e1010855
Open Access | Times Cited: 8
Complementary roles of dimensionality and population structure in neural computations
Alexis Dubreuil, Adrian Valente, Manuel Beirán, et al.
(2020)
Open Access | Times Cited: 20
Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model
Klavdia Zemlianova, Amitabha Bose, John Rinzel
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction
Tiwalayo Eisape, Noga Zaslavsky, Roger Lévy
(2020), pp. 609-619
Open Access | Times Cited: 18
Testing methods of neural systems understanding
Grace W. Lindsay, David Bau
Cognitive Systems Research (2023) Vol. 82, pp. 101156-101156
Open Access | Times Cited: 6
STDP-based associative memory formation and retrieval
Hong-Gyu Yoon, Pilwon Kim
Journal of Mathematical Biology (2023) Vol. 86, Iss. 4
Open Access | Times Cited: 4
Gated recurrence enables simple and accurate sequence prediction in stochastic, changing, and structured environments
Cédric Foucault, Florent Meyniel
eLife (2021) Vol. 10
Open Access | Times Cited: 9
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes
Satpreet H. Singh, Floris van Breuge, Rajesh P. N. Rao, et al.
(2022)
Open Access | Times Cited: 5
Cloze Distillation Improves Psychometric Predictive Power
Tiwalayo Eisape, Noga Zaslavsky, Roger Lévy
Conference on Computational Natural Language Learning (2020), pp. 609-619
Closed Access | Times Cited: 5
Next-generation of recurrent neural network models for cognition
Guangyu Robert Yang, Manuel Molano‐Mazón
(2021)
Open Access | Times Cited: 4
Ecologically pre-trained RNNs explain suboptimal animal decisions
Manuel Molano‐Mazón, Yuxiu Shao, Daniel Duque, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 4
Transition to chaos separates learning regimes and relates to measure of consciousness in recurrent neural networks
D. Mastrovito, Yuhan Helena Liu, Łukasz Kuśmierz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Recurrent Neural Network for Rhythmic Timing
Klavdia Zemlianova, Amitabha Bose, John Rinzel
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model
Klavdia Zemlianova, Amitabha Bose, John Rinzel
Research Square (Research Square) (2024)
Open Access
Forms of explanation and understanding for neuroscience and artificial intelligence
Jessica A. F. Thompson
(2021)
Open Access | Times Cited: 3
Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks
Yuxiu Shao, Srdjan Ostojic
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
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